How to use freespace method in avocado

Best Python code snippet using avocado_python

drive_scene_parser_traffic.py

Source:drive_scene_parser_traffic.py

...122        123    def callback_lane(self, lane_msg):124        self.lane_msg = lane_msg125        126    def callback_freespace(self, freespace_msg):127        self.freespace_msg = freespace_msg128        129    def callback(self, *args):130        now = rospy.Time.now()131        132        for i, callback in enumerate(self.callbacks):133            callback(args[i])134            135        if self.sub_camera is not None:136            img = self.to_numpy(self.camera_msg).copy()137        else:138            img = np.zeros((self.info.height, self.info.width, 3)).astype(np.uint8)139        140        freespace_dist = []...

BUILD

Source:BUILD

1"""2Copyright (c) 2019, NVIDIA CORPORATION. All rights reserved.3NVIDIA CORPORATION and its licensors retain all intellectual property4and proprietary rights in and to this software, related documentation5and any modifications thereto. Any use, reproduction, disclosure or6distribution of this software and related documentation without an express7license agreement from NVIDIA CORPORATION is strictly prohibited.8"""9load("//engine/build:isaac.bzl", "isaac_app", "isaac_pkg", "isaac_subgraph")10isaac_subgraph(11    name = "freespace_dnn_data_annotation_subgraph",12    data = [13        "//packages/record_replay/apps:replay_subgraph",14        "//packages/superpixels/apps:superpixels_subgraph",15    ],16    modules = [17        "superpixels",18    ],19    subgraph = "freespace_dnn_data_annotation.subgraph.json",20    visibility = ["//visibility:public"],21)22isaac_subgraph(23    name = "freespace_dnn_inference_subgraph",24    data = [25        "freespace_dnn_inference_config",26    ],27    modules = [28        "ml",29        "ml:tensorflow",30        "perception",31        "sight",32        "viewers",33    ],34    subgraph = "freespace_dnn_inference.subgraph.json",35    visibility = ["//visibility:public"],36)37filegroup(38    name = "freespace_dnn_inference_config",39    data = [40        ":freespace_dnn_inference_building_k_tensorflow.config.json",41        ":freespace_dnn_inference_indoor_tensorflow.config.json",42        ":freespace_dnn_inference_medium_warehouse_tensorflow.config.json",43        ":freespace_dnn_inference_medium_warehouse_tensorrt.config.json",44        ":freespace_dnn_inference_sidewalk_tensorflow.config.json",45        ":freespace_dnn_inference_sidewalk_tensorrt.config.json",46        "@path_segmentation_pretrained_models",47    ],48    visibility = ["//visibility:public"],49)50isaac_app(51    name = "freespace_dnn_inference_image",52    data = [53        "freespace_dnn_inference_subgraph",54        "@path_segmentation_images",55    ],56    modules = [57        "message_generators",58    ],59)60isaac_app(61    name = "freespace_dnn_inference_replay",62    data = [63        "freespace_dnn_inference_subgraph",64        "//packages/record_replay/apps:replay_subgraph",65        "@path_segmentation_logs",66    ],67)68isaac_app(69    name = "freespace_dnn_inference_unity3d",70    data = [71        "freespace_dnn_inference_subgraph",72        ":freespace_dnn_inference_unity3d_building_k.config.json",73        ":freespace_dnn_inference_unity3d_medium_warehouse.config.json",74        ":freespace_dnn_inference_unity3d_sidewalk.config.json",75        "//packages/navsim/apps:navsim_subgraph",76    ],77    modules = [78        "map",79    ],80)81isaac_app(82    name = "freespace_dnn_inference_v4l2",83    data = [84        "freespace_dnn_inference_subgraph",85    ],86    modules = [87        "sensors:v4l2_camera",88    ],89)90isaac_subgraph(91    name = "freespace_dnn_training_subgraph",92    modules = [93        "map",94        "ml",95        "sight",96        "viewers",97    ],98    subgraph = "freespace_dnn_training.subgraph.json",99    visibility = ["//visibility:public"],100)101py_binary(102    name = "freespace_dnn_training",103    srcs = [104        "freespace_dnn_training.py",105    ],106    data = [107        "__init__.py",108        "freespace_dnn_training.config.json",109        "freespace_dnn_training_freeze_model.py",110        "freespace_dnn_training_models.py",111        "freespace_dnn_training_unity3d.app.json",112        "freespace_dnn_training_unity3d_building_k.config.json",113        "freespace_dnn_training_unity3d_medium_warehouse.config.json",114        "freespace_dnn_training_unity3d_rng_warehouse.config.json",115        "freespace_dnn_training_unity3d_sidewalk.config.json",116        ":freespace_dnn_training_subgraph",117        "//packages:py_init",118        "//packages/freespace_dnn:py_init",119        "//packages/map:libmap_module.so",120        "//packages/ml:libml_module.so",121        "//packages/navsim/apps:navsim_subgraph",122        "//packages/viewers:libviewers_module.so",123    ],124    visibility = ["//visibility:public"],125    deps = [126        "//engine/pyalice",127        "//packages/ml:pyml",128    ],129)130isaac_pkg(131    name = "freespace_dnn_training-pkg",132    srcs = [":freespace_dnn_training"],133    visibility = ["//visibility:public"],...

Automation Testing Tutorials

Learn to execute automation testing from scratch with LambdaTest Learning Hub. Right from setting up the prerequisites to run your first automation test, to following best practices and diving deeper into advanced test scenarios. LambdaTest Learning Hubs compile a list of step-by-step guides to help you be proficient with different test automation frameworks i.e. Selenium, Cypress, TestNG etc.